Key Takeaways:
- Cuebiq links campaign exposure to physical store visits, not just digital engagement.
- Marketers can see which channels and placements drive true incremental lift.
- Daily reporting enables real-time adjustments to budgets, creative, and targeting.
- All insights are validated using Cuebiq’s attribution model based on real-world location data.
Today’s campaigns span CTV, mobile, display, social, and OOH. But understanding which placements actually drive incremental visits and lift ROI is harder than ever.
Cuebiq solves this with real-world behavioral data and a cross-channel measurement platform built for speed, accuracy, and scale.
If you’re serious about optimizing spend and proving impact, you need visibility into what’s actually moving people.
One Platform. All Your Channels.
Cuebiq is built to measure how media influences real-world movement across fragmented environments.
Rather than relying on proxy signals like clicks or impressions, Cuebiq connects ad exposure to physical visits, so you can see which tactics drive incremental lift and ROAS across mobile, display, CTV, social, streaming audio, OOH, and even in-app campaigns.
Every touchpoint is tied to real-world behavior, letting you track exposure-driven visits, compare cost per visit (CPV), and quantify lift across tactics, channels, and regions. Whether you’re running a local display campaign or a national CTV buy, Cuebiq shows how each element contributes to measurable business outcomes.
Attribution That Reflects Reality
Most attribution models rely on last-touch or click-based logic, overlooking high-impact channels like CTV and OOH that don’t drive direct engagement.
Cuebiq takes a behavioral-first approach, connecting media exposure to physical movement using:
- Location signals tied to in-store visits
- Historical movement patterns across audiences and regions
- Context of exposure, including timing, channel, and proximity to store locations
This yields store-level visibility into which tactics are driving foot traffic, enables granular channel comparisons, and powers media mix modeling based on actual behavior.
Layered with Cuebiq’s incrementality methodology, marketers can isolate the causal impact of each campaign, separating true lift from visits that would have happened anyway.
Case Study: 22.28% Visit Uplift with Regional Optimization
A leading home furnishings brand used Cuebiq to analyze a regional campaign across channels.
Cuebiq’s measurement revealed a 22.28% lift in visits from exposed audiences and 273 incremental store visits, surpassing new customer acquisition goals by nearly 3%.
With this insight, the brand reallocated budget mid-flight to higher-performing placements, improving overall ROI.
Why It Matters for Media Planning
Cross-channel measurement is the difference between guessing and knowing what’s driving results.
When you can tie store visits to specific exposures, you unlock the insight needed to:
- Reallocate budget to high-performing channels and geographies
- Identify oversaturation, underperformance, and fatigue
- Tailor creative by channel to improve influence
- Align spend with outcomes, not just impressions or CTRs
Without this clarity, marketers risk optimizing for the wrong signals. Cuebiq helps you make every media decision count.
The Cost of Getting It Wrong
When you can’t see how each channel is performing, you’re making decisions in the dark. Budgets get misallocated, high-performing tactics go unnoticed, and media that looks efficient on paper may underdeliver in the real world.
Misallocated budget
Channels with high CTRs often absorb the most spend, but that doesn’t mean they’re driving visits. Without store-level data, it’s easy to double down on the wrong tactics.
Channel blind spots
OOH and CTV rarely show up in click reports, but often deliver major incremental lift. Without visibility, you’re undervaluing what works.
Overexposure and diminishing returns
Serving the same ad too often leads to diminishing returns. Without frequency controls, even strong creatives lose impact.
Flawed attribution
Click-based models ignore large parts of the media mix, favoring what’s trackable over what’s effective.
Cuebiq reveals what’s truly driving movement and where spend is wasted so you can adjust your mix with confidence.
Build a Smarter Media Mix
You can’t optimize what you can’t measure. Cuebiq makes every part of your media mix accountable to real-world movement, so you can reallocate spend, cut waste, and scale what drives incremental visits.
